Eugene Dubossarsky's guest appearances

Eugene Dubossarsky

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

The Humans of Ai

Machine Learning Cafe

Max Sklar

Elliot Smith

Scott Taylor

Andrew Bastawrous

John Deere

Martin Ford

Jonathan Hart

Charles Martin

Katrin Schmidt

Steven Brown

Christoph Molnar

Dane Hillard

Steve Baxter

Stephanie Kelley

Denis Rothman

OwlTail

In this episode, our guest is Eugene Dubossarsky, who is the chief data scientist at AlphaZetta and co-founder at multiple data science companies in Australia. He is a managing partner of the Global Training Academy and he is teaching too. Eugene is dealing with machine learning since the 80s, so you can imagine he has a very strong opinion about different topics in this industry. We talked about random forests, neural nets, boosting strategies, the importance of understanding data and statistics. We couldn't skip talking about the effects of the current and upcoming crisis either.  Eugene's LinkedIn: https://www.linkedin.com/in/eugene-dubossarsky-09208a1/ AlphaZetta: https://alphazetta.ai/ Reask Track cyclons: https://reask.earth/ The Prediction Machines book: https://www.predictionmachines.ai/ Hopfield network: https://en.wikipedia.org/wiki/Hopfield_network Bengio talk:  https://slideslive.com/38922304/from-system-1-deep-learning-to-system-2-deep-learning Finnian Lattimore and Cheng Soon Ong Paper https://arxiv.org/pdf/1806.01488.pdf  ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/  Host's LinkedIn: https://www.linkedin.com/in/miklostoth/  Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/  Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)

In this episode, our guest is Eugene Dubossarsky, who is the chief data scientist at AlphaZetta and co-founder at multiple data science companies in Australia. He is a managing partner of the Global Training Academy and he is teaching too. Eugene is dealing with machine learning since the 80s, so you can imagine he has a very strong opinion about different topics in this industry. We talked about random forests, neural nets, boosting strategies, the importance of understanding data and statistics. We couldn't skip talking about the effects of the current and upcoming crisis either. Eugene's LinkedIn: <a href="https://www.linkedin.com/in/eugene-dubossarsky-09208a1/" rel="nofollow" target="_blank">https://www.linkedin.com/in/eugene-dubossarsky-09208a1/</a> AlphaZetta: <a href="https://alphazetta.ai/" rel="nofollow" target="_blank">https://alphazetta.ai/</a> Reask Track cyclons: <a href="https://reask.earth/" rel="nofollow" target="_blank">https://reask.earth/</a> The Prediction Machines book: <a href="https://www.predictionmachines.ai/" rel="nofollow" target="_blank">https://www.predictionmachines.ai/</a> Hopfield network: <a href="https://en.wikipedia.org/wiki/Hopfield_network" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Hopfield_network</a> Bengio talk: <a href="https://slideslive.com/38922304/from-system-1-deep-learning-to-system-2-deep-learning" rel="nofollow" target="_blank"> https://slideslive.com/38922304/from-system-1-deep-learning-to-system-2-deep-learning</a> Finnian Lattimore and Cheng Soon Ong Paper <a href="https://arxiv.org/pdf/1806.01488.pdf" rel="nofollow" target="_blank">https://arxiv.org/pdf/1806.01488.pdf</a> ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: <a href="http://machinelearningcafe.org/" rel="nofollow" target="_blank">http://machinelearningcafe.org/</a> Host's LinkedIn: <a href="https://www.linkedin.com/in/miklostoth/" rel="nofollow" target="_blank">https://www.linkedin.com/in/miklostoth/</a> Co-Host LinkedIn: <a href="https://www.linkedin.com/in/levente-szabados-76334728/" rel="nofollow" target="_blank">https://www.linkedin.com/in/levente-szabados-76334728/</a> Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface. ---Copyright Info--- Music is from <a href="https://filmmusic.io" rel="nofollow" target="_blank">https://filmmusic.io</a>, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (<a href="https://incompetech.com" rel="nofollow" target="_blank">https://incompetech.com</a>), License: CC BY (<a href="http://creativecommons.org/licenses/by/4.0/" rel="nofollow" target="_blank">http://creativecommons.org/licenses/by/4.0/</a>)

What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012

Dr Eugene Dubossarsky is a veteran of Data Science &amp; legend of the Sydney community, being involved in the industry in one way shape or form since the late 80s. In this episode of the Humans of Ai we briefly discuss Dr Dubossarsky's background in artificial intelligence before deep diving into some of the problems of the data science industry and potential solutions. We discuss the difference between what makes a bad Data Scientist vs. good and finally wrap things up with Eugene's best advice on how to get started in the field.

Dr Eugene Dubossarsky is a veteran of Data Science &amp; legend of the Sydney community, being involved in the industry in one way shape or form since the late 80s. In this episode of the Humans of Ai we briefly discuss Dr Dubossarsky's background in artificial intelligence before deep diving into some of the problems of the data science industry and potential solutions. We discuss the difference between what makes a bad Data Scientist vs. good and finally wrap things up with Eugene's best advice on how to get started in the field.

Dr Eugene Dubossarsky, Ai Antihype - the Perils & Remedies of a Career in Modern Data Science

In this episode we speak to Dr Eugene Dubossarsky, Chief Data Scientist at AlphaZetta and Principal Trainer at Presciient.comWe talk about data literacy, questions to ask your potential employer, his definition of actionable insights and much more!For upcoming Data Science, Machine Learning and R courses go to:http://presciient.com/current-courses/Eugene is a Strategic Advisor in all aspects Data Analytics - Capability building, winning support, management and operations.Community Builder. Creator of a number of data science and analytics communities, interest groups and professional associationsHe's the creator of ggraptR, an interactive data visualisation package in RShow notes: https://www.datafuturology.com/podcast/1Eugene is based in: Sydney, Australia--- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

In this episode we speak to Dr Eugene Dubossarsky, Chief Data Scientist at AlphaZetta and Principal Trainer at <a href="http://Presciient.com" rel="nofollow" target="_blank">Presciient.com</a> We talk about data literacy, questions to ask your potential employer, his definition of actionable insights and much more! For upcoming Data Science, Machine Learning and R courses go to: <a href="http://presciient.com/current-courses/" rel="nofollow" target="_blank">http://presciient.com/current-courses/</a> Eugene is a Strategic Advisor in all aspects Data Analytics - Capability building, winning support, management and operations. Community Builder. Creator of a number of data science and analytics communities, interest groups and professional associations He's the creator of ggraptR, an interactive data visualisation package in R Show notes: <a href="https://www.datafuturology.com/podcast/1" rel="nofollow" target="_blank">https://www.datafuturology.com/podcast/1</a> Eugene is based in: Sydney, Australia --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/datafuturology/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/datafuturology/message</a>

#1 Dr Eugene Dubossarsky - Chief Data Scientist & Principal Trainer